Ml Tech Lead (genai, Aws) Job at Provectus (Medellín)

ML Tech Lead (GenAI, AWS)

Provectus helps companies adopt ML/AI to transform the ways they operate, compet...

Location

Colombia , Medellín

Salary:

Not provided

Provectus

Expiration Date

Until further notice

Requirements

Deep ML Expertise: Advanced knowledge across multiple ML domains
Production ML: Extensive experience building production-grade ML systems
Architecture: Ability to design scalable, maintainable ML architectures
MLOps: Strong understanding of ML infrastructure and operations
LLM Systems: Experience with modern LLM-based applications and RAG
Code Quality: Exemplary coding standards and best practices
Multiple ML Frameworks: Proficiency across TensorFlow, PyTorch, scikit-learn
Cloud Platforms: Advanced AWS experience, familiarity with others
Data Engineering: Understanding of data pipelines and infrastructure
System Design: Ability to design complex distributed systems

Job Responsibility

Set technical direction and standards for ML projects
Make architectural decisions for ML systems
Review and approve technical designs
Identify and address technical debt
Champion best practices in ML engineering
Troubleshoot complex technical challenges
Evaluate and introduce new technologies and tools
Mentor junior and mid-level ML engineers (2-5 engineers)
Conduct technical code reviews
Provide guidance on technical problem-solving

What we offer

Long-term B2B collaboration
Fully remote setup
A budget for your medical insurance
Paid sick leave, vacation, public holidays
Continuous learning support, including unlimited AWS certification sponsorship

Fulltime

ML Tech Lead (GenAI, AWS)

Provectus helps companies adopt ML/AI to transform the ways they operate, compet...

Location

Colombia , Medellín; Bogotá; Cali; Barranquilla; Bucaramanga

Salary:

Not provided

Provectus

Expiration Date

Until further notice

Requirements

Deep ML Expertise: Advanced knowledge across multiple ML domains
Production ML: Extensive experience building production-grade ML systems
Architecture: Ability to design scalable, maintainable ML architectures
MLOps: Strong understanding of ML infrastructure and operations
LLM Systems: Experience with modern LLM-based applications and RAG
Code Quality: Exemplary coding standards and best practices
Multiple ML Frameworks: Proficiency across TensorFlow, PyTorch, scikit-learn
Cloud Platforms: Advanced AWS experience, familiarity with others
Data Engineering: Understanding of data pipelines and infrastructure
System Design: Ability to design complex distributed systems

Job Responsibility

Set technical direction and standards for ML projects
Make architectural decisions for ML systems
Review and approve technical designs
Identify and address technical debt
Champion best practices in ML engineering
Troubleshoot complex technical challenges
Evaluate and introduce new technologies and tools
Mentor junior and mid-level ML engineers (2-5 engineers)
Conduct technical code reviews
Provide guidance on technical problem-solving

What we offer

Long-term B2B collaboration
Fully remote setup
A budget for your medical insurance
Paid sick leave, vacation, public holidays
Continuous learning support, including unlimited AWS certification sponsorship

Fulltime

Ml Tech Lead (Genai, Aws)

Provectus helps companies adopt ML/AI to transform the ways they operate, compet...

Location

Colombia , Medellín; Bogotá; Cali; Barranquilla; Bucaramanga

Salary:

Not provided

Provectus

Expiration Date

Until further notice

Requirements

Deep ML Expertise: Advanced knowledge across multiple ML domains
Production ML: Extensive experience building production-grade ML systems
Architecture: Ability to design scalable, maintainable ML architectures
MLOps: Strong understanding of ML infrastructure and operations
LLM Systems: Experience with modern LLM-based applications and RAG
Code Quality: Exemplary coding standards and best practices
Multiple ML Frameworks: Proficiency across TensorFlow, PyTorch, scikit-learn
Cloud Platforms: Advanced AWS experience, familiarity with others
Data Engineering: Understanding of data pipelines and infrastructure
System Design: Ability to design complex distributed systems

Job Responsibility

Set technical direction and standards for ML projects
Make architectural decisions for ML systems
Review and approve technical designs
Identify and address technical debt
Champion best practices in ML engineering
Troubleshoot complex technical challenges
Evaluate and introduce new technologies and tools
Mentor junior and mid-level ML engineers (2-5 engineers)
Conduct technical code reviews
Provide guidance on technical problem-solving

What we offer

Long-term B2B collaboration
Fully remote setup
A budget for your medical insurance
Paid sick leave, vacation, public holidays
Continuous learning support, including unlimited AWS certification sponsorship

ML Tech Lead (GenAI, AWS)

Provectus helps companies adopt ML/AI to transform the ways they operate, compet...

Location

Colombia , Medellín; Bogotá; Cali; Barranquilla; Bucaramanga

Salary:

Not provided

Provectus

Expiration Date

Until further notice

Requirements

Deep ML Expertise: Advanced knowledge across multiple ML domains
Production ML: Extensive experience building production-grade ML systems
Architecture: Ability to design scalable, maintainable ML architectures
MLOps: Strong understanding of ML infrastructure and operations
LLM Systems: Experience with modern LLM-based applications and RAG
Code Quality: Exemplary coding standards and best practices
Multiple ML Frameworks: Proficiency across TensorFlow, PyTorch, scikit-learn
Cloud Platforms: Advanced AWS experience, familiarity with others
Data Engineering: Understanding of data pipelines and infrastructure
System Design: Ability to design complex distributed systems

Job Responsibility

Technical Leadership (40%): Set technical direction and standards for ML projects
Make architectural decisions for ML systems
Review and approve technical designs
Identify and address technical debt
Champion best practices in ML engineering
Troubleshoot complex technical challenges
Evaluate and introduce new technologies and tools
Mentorship & Team Development (35%): Mentor junior and mid-level ML engineers (2-5 engineers)
Conduct technical code reviews
Provide guidance on technical problem-solving

What we offer

Long-term B2B collaboration
Fully remote setup
A budget for your medical insurance
Paid sick leave, vacation, public holidays
Continuous learning support, including unlimited AWS certification sponsorship

Machine Learning Tech Lead, GenAI

Provectus helps companies adopt ML/AI to transform the ways they operate, compet...

Location

Salary:

Not provided

Provectus

Expiration Date

Until further notice

Requirements

Proven experience with LLMs and NLP frameworks (e.g., Hugging Face, OpenAI, or Anthropic models)
Strong expertise in AWS Cloud Services
Strong experience in ML/AI, including at least 2 years in a leadership role
Hands-on experience with Python, TensorFlow/PyTorch, and model optimization
Familiarity with MLOps tools and best practices
Excellent problem-solving and decision-making abilities
Strong communication skills and the ability to lead cross-functional teams
Passion for mentoring and developing engineers

Job Responsibility

Lead and manage a team of 5-10 engineers, providing mentorship and fostering a collaborative team environment
Drive the roadmap for machine learning projects aligned with business goals
Coordinate cross-functional efforts with product, data, and engineering teams to ensure seamless delivery
Design, develop, and fine-tune LLMs and other machine learning models to solve business problems
Evaluate and implement state-of-the-art LLM techniques for NLP tasks such as text generation, summarization, and entity extraction
Stay ahead of advancements in LLMs and apply emerging technologies
Expertise in multiple main fields of ML: NLP, Computer Vision, RL, deep learning and classical ML
Architect and manage scalable ML solutions using AWS services (e.g., SageMaker, Lambda, Bedrock, S3, ECS, ECR, etc.)
Optimize models and data pipelines for performance, scalability, and cost-efficiency in AWS
Ensure best practices in security, monitoring, and compliance within the cloud infrastructure

What we offer

Long-term B2B collaboration
Fully remote setup
Comprehensive private medical insurance or budget for your medical needs
Paid sick leave, vacation, public holidays
Continuous learning support, including unlimited AWS certification sponsorship

Tech Lead IA

Tech Lead IA H/F - Basé à Guyancourt (78). En tant que Tech Lead IA, vous serez ...

Location

France , Guyancourt

Salary:

Not provided

Crédit Agricole

Expiration Date

Until further notice

Requirements

Expérience bancaire (CA-CIB idéalement)
Certifications AWS (Solutions Architect, ML Specialty, GenAI)
Certification Kubernetes (CKA)
Transformation digitale en environnements régulés
Contributions open-source / conférences

Job Responsibility

Définir et faire évoluer les architectures techniques des projets d'IA
Concevoir et documenter les patterns architecturaux réutilisables
Piloter les choix technologiques
Assurer la cohérence architecturale
Intervenir en tant qu'expert technique
Développer des composants techniques avancés
Piloter techniquement le projet de plateforme mutualisée d'IA
Collaborer avec le DataLab et l'IA Factory
Renforcer les relations avec les architectes d'entreprise
Animer la communauté technique IA

Fulltime

Tech Lead

Build and deploy production ML & Data systems at scale - Work with cutting-edge ...

Location

Australia , New South Wales

Salary:

Not provided

Woolworths Supermarkets

Expiration Date

Until further notice

Requirements

Bachelor's degree or above in Computer Science, Engineering, or a related field (or equivalent practical experience)
8+ years of commercial software development experience
5+ years of hands-on experience with Python, SQL, and Linux
Experience building data pipelines using cloud technologies such as Vertex AI Pipelines, Apache Airflow, DBT or similar orchestration tools
Practical experience with MLOps/DevOps practices, including model deployment, monitoring, and automation
Experience with containerisation technologies like Docker and Kubernetes
Knowledge of microservices-oriented architecture and REST APIs
Experience in CI/CD pipeline setup (shell scripting, Unit/Integration Testing)
Proven communication and stakeholder management skills
Hands-on experience with Google Cloud (GCP) or other major cloud providers (AWS, Azure) is beneficial

Job Responsibility

Build and deploy production ML & Data systems at scale
Shape the future of retail with AI
Grow your craft
Team & Technical Leadership: Lead, manage, and mentor a team of 3-5 Data and Machine Learning engineers
Hands-On Development: Remain deeply hands-on, applying rock-solid software fundamentals to build robust data and ML pipelines, scalable APIs, and efficient data models
End-to-End Platform Ownership: Oversee the delivery of critical data and ML projects, ensuring timely completion while upholding high standards of quality, reliability, and performance
Drive Engineering & MLOps Excellence: Champion and implement best practices for both Data and ML engineering
Strategic Contribution: Collaborate closely with Delivery Managers, Data Scientists, and senior leadership to translate business requirements into technical solutions

What we offer

Team discounts across our range of Woolworths Group brands you know and love and a robust rewards program that celebrates and incentivises purpose-driven work
A global business with endless career possibilities around every corner and across every discipline – with valuable exposure to a vast and exciting business network
High impact role supporting our teams who enrich our communities
A range of programs to help you prioritise and manage your wellbeing, including 24/7 access to the Sonder app
A progressive and competitive leave policy that gives you more space for what matters to you

Fulltime

Apps Dev Tech Sr Lead Analyst

We are looking for an experienced Apps Development Group Manager to lead enginee...

Location

Canada , Mississauga

Salary:

145100.00 - 217700.00 USD / Year

Citi

Expiration Date

Until further notice

Requirements

Kotlin
Python
Java
Microservices Architecture
Event-Driven & Messaging Systems (Kafka or Solace)
Low-Latency & High-Performance Computing
High Availability & Fault Tolerance
Oracle (SQL)
MongoDB (NoSQL)
AI & ML Integration

Job Responsibility

Actively participate in system design, architecture reviews, and code reviews across TMZ platform teams
Contribute to the design of distributed, fault-tolerant, real-time systems for high-volume, low-latency equity trade processing
Write, review, and refactor production-grade code in Kotlin, Java, and Python
Lead design of event-driven, microservices-based architectures using Kafka or Solace
Drive low-latency and high-performance system design
Design and govern data architecture across Oracle (SQL) and MongoDB (NoSQL)
Champion trunk-based development, feature flags, and progressive delivery
Produce and review architecture decision records (ADRs) and technical design documents
Contribute hands-on to AI/ML integration on the TMZ platform
Lead the implementation of AI-powered platform capabilities

Fulltime

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Ml Tech Lead (genai, Aws)

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